Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR

Dalagnol, R, Phillips, OL orcid.org/0000-0002-8993-6168, Gloor, E et al. (4 more authors) (2019) Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR. Remote Sensing, 11 (7). 817. ISSN 2072-4292

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: remote sensing; forest management; disturbance monitoring; forest dynamics; multi-temporal analysis; WorldView-2; GeoEye-1; random forest; Amazon; Jamari National Forest
Dates:
  • Published: 4 April 2019
  • Accepted: 3 April 2019
  • Published (online): 4 April 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Apr 2019 14:30
Last Modified: 11 Apr 2019 14:30
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/rs11070817

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